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» Simulation Optimization: Methods and Applications
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GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 2 months ago
Evolving machine microprograms
The realization of a control unit can be done using a complex circuitry or microprogramming. The latter may be considered as an alternative method of implementation of machine ins...
Pedro A. Castillo Valdivieso, G. Fernández,...
171
Voted
AI
1998
Springer
15 years 1 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
SASO
2009
IEEE
15 years 8 months ago
Generic Self-Adaptation to Reduce Design Effort for System-on-Chip
We investigate a generic self-adaptation method to reduce the design effort for System-on-Chip (SoC). Previous self-adaptation solutions at chip-level use circuitries which have b...
Andreas Bernauer, Oliver Bringmann, Wolfgang Rosen...
104
Voted
DAC
2002
ACM
16 years 2 months ago
Guaranteed passive balancing transformations for model order reduction
The major concerns in state-of-the-art model reduction algorithms are: achieving accurate models of sufficiently small size, numerically stable and efficient generation of the mod...
Joel R. Phillips, Luca Daniel, Luis Miguel Silveir...
ICCAD
2007
IEEE
164views Hardware» more  ICCAD 2007»
15 years 10 months ago
Architectural power models for SRAM and CAM structures based on hybrid analytical/empirical techniques
— The need to perform power analysis in the early stages of the design process has become critical as power has become a major design constraint. Embedded and highperformance mic...
Xiaoyao Liang, Kerem Turgay, David Brooks